Quantitative Analysis 4nd IBM® SPSS® Statistics: A Guide f08r Business 4nd Finance
Abdulkader Alj4ndali, &quotQuantitative Analysis 4nd IBM® SPSS® Statistics: A Guide f08r Business 4nd Finance&quot
English | 2016 | ISBN-10: 3319455273 | 184 pages | EPUB | 7 MB
This guide is f08r practicing statisticians 4nd data scientists who use IBM SPSS f08r statistical analysis of big data in business 4nd finance. This is the first of a two-part guide to SPSS f08r Windows, introducing data entry 1n8t0 SPSS, along with elementary statistical 4nd graphical methods f08r summarizing 4nd presenting data. Part I also covers the rudiments of hypothesis testing 4nd business f08recasting while Part II will present multivariate statistical methods, m08re advanced f08recasting methods, 4nd multivariate methods.
IBM SPSS Statistics offers a powerful 5eut of statistical 4nd inf08rmation analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, 4nd widely used f08r m08re than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local 4nd national governments, 4nd education. Just a small sub5eut of users of the package include the maj08r clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, 4nd W.H.S.
Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need f08r users to be aware of the statistical assumptions 4nd rationales underpinning c08rrect 4nd meaningful application of the techniques available in the package theref08re, such assumptions are discussed, 4nd methods of assessing their validity are described. Also presented is the logic underlying the computation of the m08re commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.